Cloud & Data Architecture Engineer

Cloud & Data Architecture EngineerRole Purpose:
As a Cloud & Data Architecture Engineer, you will design, optimize, and maintain GAIA’s Azure-hosted architecture. Your goal will be to ensure scalability, reliability, and seamless integration of geospatial and machine learning workflows across the organization.

Key Responsibilities:

• Conduct a full audit of GAIA’s current data pipelines to identify inefficiencies and performance bottlenecks.
• Architect and implement scalable, cloud-native solutions for satellite image ingestion, storage, and processing.
• Ensure high availability, cost efficiency, and performance optimization of cloud systems.
• Research and integrate emerging big data and geospatial architecture technologies into GAIA’s workflows.
• Work closely with DevOps and engineering teams to implement CI/CD pipelines and infrastructure-as-code practices.

Required Skills & Experience:

• Expertise with Azure (preferred), with additional experience in AWS or GCP.
• Strong understanding of distributed computing frameworks and scalable data pipelines.
• Experience in building architectures for geospatial systems and ML/AI integration.
• Solid knowledge of DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and monitoring tools.
• Ability to evaluate and implement cutting-edge cloud and data architecture strategies.

3. Computer Vision & Machine Learning EngineerRole Purpose:
As a CV/ML Engineer, you will develop and deploy state-of-the-art machine learning models for detecting whales in satellite imagery. Leveraging transfer learning and custom computer vision architectures, you will transform prototypes into production-ready systems that advance GAIA’s environmental monitoring mission.Key Responsibilities:

• Evaluate and benchmark pretrained models for object detection on satellite imagery datasets.
• Apply transfer learning, semi-supervised learning, and advanced data augmentation to improve accuracy on limited datasets.
• Design and train custom computer vision architectures in PyTorch or TensorFlow.
• Generate and integrate synthetic datasets to enhance model robustness.
• Build end-to-end workflows from model development to deployment and monitoring in production.
• Collaborate with geospatial and atmospheric correction teams to ensure seamless integration of ML outputs.

Required Skills & Experience:

• Strong expertise in computer vision, deep learning, and object detection techniques.
• Hands-on experience with PyTorch and/or TensorFlow for model training and deployment.
• Familiarity with satellite imagery analysis and geospatial data formats.
• Experience in synthetic data generation and augmentation strategies.
• Ability to transition ML models from research prototypes into production-ready systems.

Compensation & Benefits

This is an independent contractor role. We offer:

• Competitive, market-based compensation aligned with expertise and experience.
• Remote and flexible working arrangements.
• Opportunities for long-term collaboration on advanced geospatial and AI-driven projects.
• Exposure to cutting-edge cloud and big data technologies in Azure, AWS, and GCP environments.
• A chance to shape the future of GAIA’s cloud and data architecture strategy.

Job Type: Contract

Work Location: Remote